Artificial intelligence techniques lead to data-driven energy services in distribution power
systems by extracting value from the data generated by the deployed metering and sensing …

Unveiling feeder topologies from data is of paramount importance to advance situational
awareness and proper utilization of smart resources in power distribution grids. This tutorial …

This paper presents a review of the literature on state estimation (SE) in power systems.
While covering works related to SE in transmission systems, the main focus of this paper is …

The energy management system becomes increasingly indispensable with the extensive
penetration of new players in the distribution networks, such as renewable energy, storage …

The high penetration of renewable energy will substantially change the power system
operation. Traditionally, the annual operation of a power system can be represented by …

Solving power flow (PF) equations is the basis of power flow analysis, which is important in
determining the best operation of existing systems, performing security analysis, etc …

This paper provides a survey of big data analytics applications and associated
implementation issues. The emphasis is placed on applications that are novel and have …

Grid topology and line parameters are essential for grid operation and planning, which may
be missing or inaccurate in distribution grids. Existing data-driven approaches for recovering …

Large-scale integration of distributed energy resources into distribution feeders necessitates
careful control of their operation through power flow analysis. While the knowledge of the …

The high-precision parameters in distribution networks are difficult to obtain, which brings
difficulties to the model-based methods and analysis. With the widespread deployment of …